Speaker
Description
The Artificial Retina is a computing architecture conceived for track reconstruction, particularly suitable for implementation on FPGAs. Its high throughput and low latency allow to integrate it into the readout of the DAQ system of a HEP experiment. The reconstructed tracks can be incorporated in the raw data as outputs from a virtual sub-detector.
After a decade of R&D, started with the INFN-CSN5 RETINA project, the LHCb collaboration decided to build a system based on this architecture to reconstruct tracks in the SciFi detector for Run 4: the downstream tracker (DWT).
This talk will review the key milestones achieved throughout the R&D program, from the first functional prototype developed during the RETINA project to the demonstrator processing live data coming from the LHCb monitoring farm during Run 3. It will continue with the description of the downstream tracker, how it will be integrated in the LHCb DAQ system, and the communication test between the two.
